Triple
T18802716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcos Highway |
E459795
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | La Union |
E283255
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: La Union | Statement: [Marcos Highway, passesThrough, La Union]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Union Context triple: [Marcos Highway, passesThrough, La Union]
-
A.
La Union
chosen
La Union is a coastal province in the Ilocos Region of the Philippines known for its Ilocano heritage, surfing beaches, and emerging tourism industry.
-
B.
L’Union
L’Union is a French regional newspaper known for covering local and national news in the Champagne-Ardenne and surrounding areas.
-
C.
L’Union
L’Union is a suburban commune in southwestern France, located just northeast of Toulouse and integrated into its metropolitan area.
-
D.
Unión
Unión is an Argentine sports club best known for its professional football team based in Santa Fe.
-
E.
República
República is a central neighborhood in São Paulo, Brazil, known for its historic square, diverse urban life, and concentration of commercial and cultural activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a0253f748190998995e3b1524357 |
completed | April 20, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a054725edbc819099ad8200394653ec |
completed | May 14, 2026, 3:53 a.m. |
Created at: April 10, 2026, 11:53 a.m.